Senior/Staff+ Software Engineer, Voice Platform (AI)

TL;DR

Senior/Staff+ Software Engineer, Voice Platform (AI): Building the real-time streaming infrastructure that powers voice conversations with Claude with an accent on low-latency serving systems and optimizing time-to-first-audio. Focus on designing the voice mode API surface and implementing graceful barge-in and interruption handling.

Location: San Francisco, CA | New York City, NY | Seattle, WA. Expect all staff to be in one of our offices at least 25% of the time.

Salary: $320,000 - $485,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude.
• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness.
• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers.
• Own the audio transport layer—codecs, jitter buffers, adaptive bitrate, packet loss recovery—so conversations stay smooth across unreliable networks.
• Build observability and quality-measurement systems for voice.
• Partner with Audio research to move new model architectures from experiment to production.

Requirements

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale.
• Have shipped production systems where latency is measured in tens of milliseconds.
• Are comfortable working across the stack—from transport protocols and serving infrastructure up to the APIs product teams build on.
• Are results-oriented, with a bias toward flexibility and impact.
• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly.
• We require at least a Bachelor's degree in a related field or equivalent experience.

Nice to have

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale.
• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP.
• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure.
• Telephony, live streaming, video conferencing, or voice assistant platforms.
• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio).

Culture & Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in which to collaborate with colleagues.

Hiring process

• Applications will be reviewed on a rolling basis.
• We encourage you to apply even if you do not believe you meet every single qualification.
• If we make you an offer, we will make every reasonable effort to get you a visa.